Profiling of a high mannose-type N-glycosylated lipase using hydrophilic interaction chromatography-mass spectrometry.


Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
01 May 2020
Historique:
received: 12 11 2019
revised: 17 02 2020
accepted: 23 02 2020
entrez: 8 4 2020
pubmed: 8 4 2020
medline: 15 12 2020
Statut: ppublish

Résumé

Many industrial enzymes exhibit macro- and micro-heterogeneity due to co-occurring post-translational modifications. The resulting proteoforms may have different activity and stability and, therefore, the characterization of their distributions is of interest in the development and monitoring of enzyme products. Protein glycosylation may play a critical role as it can influence the expression, physical and biochemical properties of an enzyme. We report the use of hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-MS) to profile intact glycoform distributions of high mannose-type N-glycosylated proteins, using an industrially produced fungal lipase for the food industry as an example. We compared these results with conventional reversed phase LC-MS (RPLC-MS) and sodium dodecyl sulfate-polyacrylamide gel-electrophoresis (SDS-PAGE). HILIC appeared superior in resolving lipase heterogeneity, facilitating mass assignment of N-glycoforms and sequence variants. In order to understand the glycoform selectivity provided by HILIC, fractions from the four main HILIC elution bands for lipase were taken and subjected to SDS-PAGE and bottom-up proteomic analysis. These analyses enabled the identification of the most abundant glycosylation sites present in each fraction and corroborated the capacity of HILIC to separate protein glycoforms based on the number of glycosylation sites occupied. Compared to RPLC-MS, HILIC-MS reducted the sample complexity delivered to the mass spectrometer, facilitating the assignment of the masses of glycoforms and sequence variants as well as increasing the number of glycoforms detected (69 more proteoforms, 177% increase). The HILIC-MS method required relatively short analysis time (<30 min), in which over 100 glycoforms were distinguished. We suggest that HILIC(-MS) can be a valuable tool in characterizing bioengineering processes aimed at steering protein glycoform expression as well as to check the consistency of product batches.

Identifiants

pubmed: 32252907
pii: S0003-2670(20)30234-8
doi: 10.1016/j.aca.2020.02.042
pii:
doi:

Substances chimiques

Lipase EC 3.1.1.3
Mannose PHA4727WTP

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

69-77

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

A F G Gargano (AFG)

Centre for Analytical Sciences Amsterdam, Amsterdam, the Netherlands; Division of BioAnalytical Chemistry, Amsterdam Institute for Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; van 't Hoff Institute for Molecular Science, University of Amsterdam, Amsterdam, the Netherlands. Electronic address: a.gargano@uva.nl.

O Schouten (O)

DSM Biotechnology Center, Analysis Department, Delft, the Netherlands.

G van Schaick (G)

Division of BioAnalytical Chemistry, Amsterdam Institute for Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands.

L S Roca (LS)

Centre for Analytical Sciences Amsterdam, Amsterdam, the Netherlands; van 't Hoff Institute for Molecular Science, University of Amsterdam, Amsterdam, the Netherlands.

J H van den Berg-Verleg (JH)

DSM Biotechnology Center, Analysis Department, Delft, the Netherlands.

R Haselberg (R)

Centre for Analytical Sciences Amsterdam, Amsterdam, the Netherlands; Division of BioAnalytical Chemistry, Amsterdam Institute for Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

M Akeroyd (M)

DSM Biotechnology Center, Analysis Department, Delft, the Netherlands.

N Abello (N)

DSM Biotechnology Center, Analysis Department, Delft, the Netherlands.

G W Somsen (GW)

Centre for Analytical Sciences Amsterdam, Amsterdam, the Netherlands; Division of BioAnalytical Chemistry, Amsterdam Institute for Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

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Classifications MeSH